Alp Yurtsever

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 30

Top Topics

Gradient Method

Matrix Factorization

Convex Minimization

Top Venues

Publications

Sourasekhar Banerjee, Ali Dadras, Alp Yurtsever, Monowar H. Bhuyan
Personalized Multi-tier Federated Learning. CoRR (2024)
Hoomaan Maskan, Konstantinos C. Zygalakis, Alp Yurtsever
A Variational Perspective on High-Resolution ODEs. CoRR (2023)
Hoomaan Maskan, Konstantinos Zygalakis, Alp Yurtsever
A Variational Perspective on High-Resolution ODEs. NeurIPS (2023)
Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization. CoRR (2022)
Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, Alp Yurtsever
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization. AISTATS (2022)
Alp Yurtsever, Suvrit Sra
CCCP is Frank-Wolfe in disguise. NeurIPS (2022)
Alp Yurtsever, Tolga Birdal, Vladislav Golyanik
Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization. CoRR (2022)
Alp Yurtsever, Tolga Birdal, Vladislav Golyanik
Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization. ECCV (23) (2022)
Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell
An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity. SIAM J. Optim. 31 (4) (2021)
Alp Yurtsever, Varun Mangalick, Suvrit Sra
Three Operator Splitting with a Nonconvex Loss Function. ICML (2021)
Alp Yurtsever, Alex Gu, Suvrit Sra
Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates. NeurIPS (2021)
Alp Yurtsever, Joel A. Tropp, Olivier Fercoq, Madeleine Udell, Volkan Cevher
Scalable Semidefinite Programming. SIAM J. Math. Data Sci. 3 (1) (2021)
Alp Yurtsever, Suvrit Sra, Volkan Cevher
Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator. ICML (2019)
Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher
Stochastic Frank-Wolfe for Composite Convex Minimization. NeurIPS (2019)
Alp Yurtsever, Olivier Fercoq, Volkan Cevher
A Conditional-Gradient-Based Augmented Lagrangian Framework. ICML (2019)
Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell
An Optimal-Storage Approach to Semidefinite Programming using Approximate Complementarity. CoRR (2019)
Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation. SIAM J. Sci. Comput. 41 (4) (2019)
Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation. CoRR (2019)
Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher
Stochastic Conditional Gradient Method for Composite Convex Minimization. CoRR (2019)
Alp Yurtsever, Olivier Fercoq, Francesco Locatello, Volkan Cevher
A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming. ICML (2018)
Ya-Ping Hsieh, Yu-Chun Kao, Rabeeh Karimi Mahabadi, Alp Yurtsever, Anastasios Kyrillidis, Volkan Cevher
A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization. IEEE Trans. Signal Process. 66 (22) (2018)
Kfir Y. Levy, Alp Yurtsever, Volkan Cevher
Online Adaptive Methods, Universality and Acceleration. CoRR (2018)
Kfir Yehuda Levy, Alp Yurtsever, Volkan Cevher
Online Adaptive Methods, Universality and Acceleration. NeurIPS (2018)
Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data. CoRR (2017)
Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data. NIPS (2017)
Alp Yurtsever, Madeleine Udell, Joel A. Tropp, Volkan Cevher
Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage. AISTATS (2017)
Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
Practical Sketching Algorithms for Low-Rank Matrix Approximation. SIAM J. Matrix Anal. Appl. 38 (4) (2017)
Gergely Ódor, Yen-Huan Li, Alp Yurtsever, Ya-Ping Hsieh, Quoc Tran-Dinh, Marwa El Halabi, Volkan Cevher
Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval. ICASSP (2016)
Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
Randomized single-view algorithms for low-rank matrix approximation. CoRR (2016)
Alp Yurtsever, Bang Công Vu, Volkan Cevher
Stochastic Three-Composite Convex Minimization. NIPS (2016)
Alp Yurtsever, Ya-Ping Hsieh, Volkan Cevher
Scalable convex methods for phase retrieval. CAMSAP (2015)
Alp Yurtsever, Quoc Tran-Dinh, Volkan Cevher
A Universal Primal-Dual Convex Optimization Framework. NIPS (2015)